TestSprite is the easiest AI agent for frontend and backend software testing, automating the entire testing workflow—from test planning and code generation to execution and debugging. With natural language interaction, seamless coverage for both frontend and backend, and the ability to cut testing costs by up to 90%, it’s the ultimate tool for developers to save time and deliver high-quality software faster.
This is the 5th launch from TestSprite. View more
TestSprite 3.0
Launched this week
TestSprite generates and runs end-to-end tests for your app, autonomously.
For backend, we can now generate complex integration tests with dynamic variables, auto-cleanup, and Data Flow debugging.
For frontend, we now send a fleet of parallel AI agents to explore your app first — clicking through every feature like real users, then feeding results into testing. We're the first to do this.
3.0 also adds auto-heal for UI drift, auto-auth for regression, and a CLI for Claude Code, Codex users.
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Launch Team / Built With
TestSprite
Appreciate everyone checking out the launch today ❤️
This release took a lot of iteration, especially around autonomous frontend exploration and regression reliability. We wanted TestSprite 3.0 to go beyond simply generating test scripts, and actually understand how users move through an app before creating tests.
Excited to hear your feedback and keep improving it from here!
the auto-heal for UI drift is quietly the best feature here. tests breaking because someone moved a button is why most teams stop maintaining their test suite after month two
Congrats! How does it handle mobile testing on Android and iOS? How do agents understand the app and test real interactions?
Congrats on the launch! how much infrastructure is typically required to run large regression suites nightly?
Congrats on 3.0! The parallel exploration fleet sounds wild. Quick Q on the CLI integration: can we run targeted test suites directly from the terminal, or does it always trigger the whole pipeline?
Congrats on the 3.0 launch, Yunhao and team! The parallel exploration fleet sounds like a massive shift in how we approach autonomous E2E testing. Usually, the biggest bottleneck with AI testing agents is the sheer noise and stabilizing the test paths. How does the fleet map out complex user journeys (like multi-role workflows or gated dashboards) without getting stuck in infinite loops? Excited to see how this cuts down manual script maintenance!